Sentence examples for incorrectly matching from inspiring English sources

A Texas purge of voter registrations made many mistakes, including incorrectly matching the names of some state residents with deceased people around the country and then threatening to drop the Texans from the voter rolls, according to the Houston Chronicle.

To conservatively bias our test, we coded these sequences as incorrectly matching macrofossil ID.

This analysis requires that we assign each sequence as correctly or incorrectly matching the macrofossil species identity.

When we extend the range to [40,200], TF detects one small nucleosome by incorrectly matching the two strongest (but closest) peaks (Fig. 4F).

Fuzzy matching not only brings with it the possibility of failing to match an experimental fragment with one of the in silico fragments, but it also bring the possibility of incorrectly matching an in silico fragment.

IN MAY, Brandon Mayfield, a 37-year-old Oregon lawyer, was arrested and thrown in jail when federal agents incorrectly matched his fingerprint with one found on a bag of detonators in a station near Madrid after the March train bombings.

Ms. Musca said the fronts and backs were printed separately and incorrectly matched and that the company would pay the $8,000 to have 32,000 news cards reprinted and mailed.

Of course, the general public strongly dislikes the scheme, and with good cause: according to UK experts, one in 1,000 people will potentially be misidentified by card scanning technology, with their studies revealing "the biometrics of black, elderly and disabled people have a higher chance of being incorrectly matched against their true ID.

This table shows the percentage of pixels incorrectly matched for the nonoccluded pixels (nonocc), the discontinuity pixels (disc), and for all the matched pixels (all).

Alternatively, if they are incorrectly matched, then it can result in relatively large amplitude and/or frequency deviations in the resulting partial.

To summarize, we find that non-Western immigrants face a higher risk of being overeducated once they enter the labor market and lose more from being incorrectly matched.